AI Agents

Learning Outcomes

• Understanding different types of AI agents
• Implementing memory and planning systems
• Integrating function calling and external tools
• Building AI agents across various business functions and industries

Ref - System of Agents

AI agents come in various forms, each uniquely designed to handle specific tasks and levels of autonomy. Here’s a breakdown of different AI agent types, emphasizing their scope of work, capabilities, feasibility, and automation level.

All about AI Agents

• Anatomy of AI Agents
• Types of AI Agents
• Building AI Agents
• Use Cases & Agentic Tools
• Notes

Resources

AI Agent Architecture & Anatomy

• LLM agents
• Build an AI Agent with N8N and Pinecone
• Maximizing the Potential of LLMs
• Claude Now Supports Tool Use
• Tool Use in Claude

Agent Frameworks & Implementation

• LangChain Agents
• Llamaindex Agent
• Autogen
• CrewAI

Best Practices & Guidelines

• Understanding AI Agents
• Taskade AI Agents

Advanced Topics

• Agent Memory & Planning - https://www.pinecone.io/learn/series/langchain/langchain-agents/
• Agent Orchestration - https://www.ruxu.dev/articles/ai/maximizing-the-potential-of-llms/

Further Reading

• AI Agent Market Overview
• Agents Roadmap
• Future for AI Agents
• System of Agents
• Introduction to LLM Agents
• Awesome LLM Agents
• Awesome AI Agents